Machine Learning in Agriculture

Machine learning applied to high-throughput feature extraction from imagery to map spatial variability.


A technology and analytics platform for improving variety selection.

Optimising Canola Phenology

Optimising Canola Phenology for Australian Target Production Environments

Genetic diversity toolkit

A genetic diversity toolkit to maximise harvest index by controlling the duration of developmental phase

National Phenology Initiative

A nationally validated model of wheat and barley flowering time that can be parameterised for new cultivars using molecular markers, genomic data and/or controlled environment phenotypic data.

Phenotyping with light interception

Quantification and evaluation of the phenotyping parameters and light interception function of the crop canopy based on rotor unmanned aerial vehicle (UAV) platform


WaterWise through digital technology